𝔖 Bobbio Scriptorium
✦   LIBER   ✦

An adaptive technique for content-based image retrieval

✍ Scribed by Jana Urban; Joemon M. Jose; Cornelis J. van Rijsbergen


Publisher
Springer US
Year
2006
Tongue
English
Weight
636 KB
Volume
31
Category
Article
ISSN
0942-4962

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Adaptive lifting for shape-based image r
✍ P.J. Oonincx; P.M. de Zeeuw πŸ“‚ Article πŸ“… 2003 πŸ› Elsevier Science 🌐 English βš– 241 KB

We propose to use adaptive wavelet lifting for image retrieval systems that are based on shape detection and multiresolution structures of objects in a database against a background of texture. To measure the performance of our approach, feature vectors are computed based on moment invariants of det

Edge based features for content based im
✍ Minakshi Banerjee; Malay K. Kundu πŸ“‚ Article πŸ“… 2003 πŸ› Elsevier Science 🌐 English βš– 854 KB

The common problem in content based image retrieval (CBIR) is selection of features. Image characterization with lesser number of features involving lower computational cost is always desirable. Edge is a strong feature for characterizing an image. This paper presents a robust technique for extracti

Adaptive content-based music retrieval s
✍ Aleksandar KovačeviΔ‡; Branko MilosavljeviΔ‡; Zora KonjoviΔ‡; Milan VidakoviΔ‡ πŸ“‚ Article πŸ“… 2009 πŸ› Springer US 🌐 English βš– 425 KB
Series feature aggregation for content-b
✍ Jun Zhang; Lei Ye πŸ“‚ Article πŸ“… 2010 πŸ› Elsevier Science 🌐 English βš– 718 KB

Feature aggregation is a critical technique in content-based image retrieval (CBIR) systems that employs multiple visual features to characterize image content. Most previous feature aggregation schemes apply parallel topology, e.g., the linear combination scheme, which suffer from two problems. Fir